Jmp Version History -

Expanded the software's statistical capabilities beyond basic exploratory data analysis.

: Run Python scripts natively with direct access to JMP data tables. Enhanced modern data visualization controls, upgraded predictive modeling tools, and optimized multi-threaded performance for enterprise deployment. Quick Reference Summary Table Launch Year Major Milestone / Defining Feature JMP 1 Initial Mac release; dynamic visual data linking JMP 3 Cross-platform compatibility (Windows debut) JMP 4 Introduction of JMP Scripting Language (JSL) JMP 8 Debut of the iconic Graph Builder interface JMP 10 Split into Standard and JMP Pro advanced tiers JMP 13 Native Text Explorer and Dashboard Builder JMP 16

The latest major leap, JMP 18 features a revamped core engine and deeper integration with Python, allowing users to run Python code directly within the JMP environment while leveraging JMP’s superior graphics. Conclusion jmp version history

This era marked a significant corporate pivot. Realizing the massive corporate adoption of PCs, SAS engineers expanded support beyond Apple hardware. , laying the framework for a cross-platform deployment model that dramatically scaled its commercial footprint. 2. Modernizing the Framework (2000–2010) JMP 4.0 (2002)

In 2012, JMP 10.0 was launched, bringing a new module called JMP Clinical. This module provided specialized tools for clinical trial data analysis, including features like data visualization, patient profiles, and efficacy and safety analysis. Quick Reference Summary Table Launch Year Major Milestone

The release of JSL in version 4 changed JMP from a desktop tool to a platform that could automate complex reports.

Then, in 1989, a whisper came from a Macintosh lab in Cary, North Carolina. Two SAS Institute co-founders, John Sall and James Goodnight, had a radical vision: what if you could see the statistics? , laying the framework for a cross-platform deployment

Introduction of the JMP Scripting Language (JSL), allowing users to automate workflows and build custom applications. Added neural networks, time series analysis, and partition trees. JMP 5 (2002)